Posts List

Small Company - Big Data - Great Future! (Geo Data Engineer) at TerraLoupe (München, Deutschland)

Small Company - Big Data -  Great Future! Geo Data Engineer Our client is an exciting young and innovative Start-Up, which is analyzing aerial images with artificial intelligence. Now they are looking for a Geo Data Engineer, who will join their team long-term! What will you do there? -You are responsible for optimizing and automating the handling of large Geo Data on their platform. -Automating the machine learning process -Improving the creation, handling, etc.

Data Scientist for Machine Learning & Process Mining (f/m/div*) at Infineon (Munich, Germany)

Are you passionate about analyzing data to extract new, actionable discoveries? Through predictive interpretation, our team provides Infineon’s internal customers with meaningful insights about the choices they make and help them to lead their best business. We are looking for innovative people with predictive, statistical and analytical skills who like to deep-dive into process mining and machine learning. Sounds like you? Then we would really like to hear from you!

Data Scientist - Payments at Zalando Payments SE & Co.KG (Berlin, Germany)

You Are Ready To Make an Impact At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering. You Are Setting Standards

Machine Learning / Data Engineer at BuzzBird GmbH (Berlin, Deutschland) (allows remote)

In deiner Rolle wirst du unseren Matching-Algorithmus perfektionieren. Wir suchen keinen reinen Wissenschaftler, sondern in dieser Phase jemanden, der vor allem viel praktische Erfahrung mit Datenvorverarbeitung und einen guten Überblick über die AI Landschaft mitbringt. Du solltest in deinem letzten Job schon einmal Machine Learning (am besten in einer Startup Umgebung) implementiert haben. Die dazugehörige Infrastruktur kannst du selbst mitgestalten (Data Management, etc.).Zugriff auf unser Backend mit bisherigen Booking Transaktionen für Performance-Indikatoren.